Station advertisement media resource value and income prediction regression method and prediction model

A technology of advertising media and regression algorithm, applied in the field of artificial intelligence, can solve the problem of lack of scientific method system in the prediction of the value and income of station advertising media resources

Pending Publication Date: 2020-04-10
INST OF COMPUTING TECH CHINA ACAD OF RAILWAY SCI +3
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Problems solved by technology

[0004] In view of this, the embodiment of the present invention provides a training method for the regression prediction model of the station advertising media resource value and revenue, and a regression prediction...

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  • Station advertisement media resource value and income prediction regression method and prediction model
  • Station advertisement media resource value and income prediction regression method and prediction model
  • Station advertisement media resource value and income prediction regression method and prediction model

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Embodiment Construction

[0028] In order to better understand the technical solutions of the present invention, the embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0029] It should be clear that the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0030] figure 1 It is a schematic flowchart of a specific embodiment of the training method for the regression prediction model of the station advertising media resource value and revenue provided by the embodiment of the present invention. refer to figure 1 , the training method includes:

[0031] Step 101. Obtain original data related to the value and revenue of station advertising media resources from multiple data sources; ...

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Abstract

The embodiment of the invention provides a station advertisement media resource value and income prediction regression method and a prediction model. According to the station advertisement media resource value and income prediction regression method and the prediction model of the invention, the production and operation data of a high-speed rail station are acquired from different data sources totrain a regression prediction model; training and testing are combined in a training process; an optimal regression algorithm is searched in a cross validation mode; parameter optimization is carriedout on the regression algorithm; and therefore, a scientific and feasible railway operation data analysis and evaluation prediction model can be established, more effective support is provided for theoperation and development of railway media advertisements, and the problem that station advertisement media resource value and income prediction lacks a scientific method system in the prior art is solved.

Description

【Technical field】 [0001] The invention relates to the technical field of artificial intelligence, in particular to a training method for a regression prediction model of station advertising media resource value and revenue, and a regression prediction method for station advertising media resource value and revenue. 【Background technique】 [0002] The operating mileage of China's high-speed rail reached 29,000 kilometers by the end of 2018, making it the country with the longest operating mileage, the highest transportation density, the most complex scenarios, and the largest passenger flow in the world. High-speed rail advertising media is currently experiencing unprecedented development space and opportunities, and it contains huge potential for economic value. In particular, the scale of high-speed rail passenger groups is growing rapidly, and the types of new media are becoming more and more diverse. The communication effect in the sense of advertising is huge. [0003] H...

Claims

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Application Information

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IPC IPC(8): G06Q30/02G06Q10/06
CPCG06Q30/0242G06Q10/067
Inventor 许娜吴刚单杏花陈靖付睿杨琳卢迪宋卿赵亚涛赵小强
Owner INST OF COMPUTING TECH CHINA ACAD OF RAILWAY SCI
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